View source for Intel corporation (20240211728). Method and System of Audio Detection of a Target Audio Source in Noisy Environments simplified abstract

=Method and System of Audio Detection of a Target Audio Source in Noisy Environments=


==Organization Name==

[[:Category:intel corporation|intel corporation]]


[[Category:intel corporation]]

==Inventor(s)==

[[:Category:Rita Chattopadhyay of Chandler AZ (US)|Rita Chattopadhyay of Chandler AZ (US)]][[Category:Rita Chattopadhyay of Chandler AZ (US)]]

[[:Category:Stanley Mo of Portland OR (US)|Stanley Mo of Portland OR (US)]][[Category:Stanley Mo of Portland OR (US)]]

[[:Category:Matias Almada of South Lake Tahoe CA (US)|Matias Almada of South Lake Tahoe CA (US)]][[Category:Matias Almada of South Lake Tahoe CA (US)]]

[[:Category:Steven Krebs of Maricopa AZ (US)|Steven Krebs of Maricopa AZ (US)]][[Category:Steven Krebs of Maricopa AZ (US)]]

==Method and System of Audio Detection of a Target Audio Source in Noisy Environments - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240211728 titled 'Method and System of Audio Detection of a Target Audio Source in Noisy Environments

'''Simplified Explanation:'''
The patent application describes a system that processes audio signals by separating mixed audio into individual sources and determining their association with specific targets using a neural network.

* The system receives a mixed audio signal with multiple sources.
* It separates the signal into individual target audio sources.
* It uses a neural network to classify the target audio sources.
* The system determines the association of the target audio sources with specific targets.

'''Key Features and Innovation:'''
* Audio processing system that separates mixed audio signals into individual sources.
* Utilizes a neural network for classifying target audio sources.
* Determines the association of target audio sources with specific targets.

'''Potential Applications:'''
* Audio editing and mixing in music production.
* Speech enhancement in telecommunications.
* Noise cancellation in audio recordings.

'''Problems Solved:'''
* Difficulty in isolating specific audio sources in a mixed signal.
* Lack of efficient methods for classifying target audio sources.
* Challenges in determining the association of audio sources with specific targets.

'''Benefits:'''
* Improved audio processing accuracy.
* Enhanced audio editing capabilities.
* Better noise reduction and speech enhancement.

'''Commercial Applications:'''
The technology can be used in music production software, telecommunications equipment, and audio editing tools, enhancing their capabilities and performance in processing audio signals.

'''Prior Art:'''
Researchers can explore prior patents related to audio signal processing, neural networks, and audio source separation to understand the existing technology landscape in this field.

'''Frequently Updated Research:'''
Stay updated on advancements in neural network algorithms for audio processing, new techniques for audio source separation, and applications of machine learning in audio engineering.

'''Questions about Audio Processing:'''
1. How does the system determine the association of target audio sources with specific targets?
2. What are the potential challenges in implementing neural networks for audio source separation and classification?


==Original Abstract Submitted==

a computer-implemented system, platform, device, and method of audio processing comprises receiving, by processor circuitry, a mixed audio signal having a plurality of audio sources, and separating the mixed audio signal into at least one separate target audio source signal; and determining whether or not the at least one separate target audio source signal is associated with at least one target audio source. this also comprises inputting at least one of the separate target audio source signals into a classifying neural network.



[[Category:G06N3/045]]
[[Category:CPC_G06N3/045]]